Pulkit Agrawal is a Senior AI/ML professional with nine years of experience applying Reinforcement Learning and NLP to build production-grade, revenue-driving systems. He has led RL-optimized recommender work that increased net revenue and retention while cutting costs—research later published at The Web Conference 2025—and co-authored interpretable forecasting research at SIGKDD. At [24]7.ai he developed multi-turn conversational agents and a Siamese BERT-based KB retriever that improved F1 by over 12%, reducing agent handling time and enabling incremental learning from user feedback. Comfortable bridging research and production, Pulkit combines rigorous academic training from IIT (ISM) Dhanbad with hands-on deployment experience across fintech and gaming domains. He’s as focused on measurable business impact as on model interpretability and continuous learning in live systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (BTech) , Bachelor of Technology (BTech) at Indian Institute of Technology (Indian School of Mines), Dhanbad
Contributions:13 pushes, 1 branch in 2 years 8 months
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